Demographics details for Albert lea, MN vs Chesapeake, VA
Population Overview
Compare main population characteristics in Albert lea, MN vs Chesapeake, VA.
| Data | Albert lea | Chesapeake |
|---|---|---|
| Population | 18,396 | 252,488 |
| Median Age | 44.2 years | 37.4 years |
| Median Income | $56,347 | $92,703 |
| Married Families | 35.0% | 43.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 4.0 | 3.0 |
Population Comparison: Albert lea vs Chesapeake
- The population in Chesapeake is higher at 252,488, compared to 18,396 in Albert lea.
- Residents in Albert lea have a higher median age of 44.2 years compared to 37.4 years in Chesapeake.
- Chesapeake has a higher median income of $92,703, compared to $56,347 in Albert lea.
- In Chesapeake, the percentage of married families is higher at 43.0%, compared to 35.0% in Albert lea.
- Albert lea has a higher poverty level at 10% compared to 8% in Chesapeake.
- The unemployment rate in Albert lea is higher at 4.0%, compared to 3.0% in Chesapeake.
Demographics
Demographics Albert lea vs Chesapeake provide insight into the diversity of the communities to compare.
| Demographic | Albert lea | Chesapeake |
|---|---|---|
| Black | 2 | 29 |
| White | 72 | 53 |
| Asian | 3 | 4 |
| Hispanic | 15 | 7 |
| Two or More Races | 8 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Albert lea vs Chesapeake
- In Chesapeake, the percentage of Black residents is higher at 29% compared to 2% in Albert lea.
- Albert lea has a higher percentage of White residents at 72% compared to 53% in Chesapeake.
- In Chesapeake, the Asian population stands at 4%, greater than 3% in Albert lea.
- The Hispanic community is larger in Albert lea at 15% compared to 7% in Chesapeake.
- More residents identify as two or more races in Albert lea at 8% compared to 7% in Chesapeake.
- The percentage of American Indian residents is the same in both Albert lea and Chesapeake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Albert lea | Chesapeake |
|---|---|---|
| Mental Health Not Good | 16.6% | 15.9% |
| Physical Health Not Good | 11.3% | 10.0% |
| Depression | 24.2% | 20.9% |
| Smoking | 22.1% | 14.8% |
| Binge Drinking | 18.3% | 16.1% |
| Obesity | 38.0% | 36.1% |
| Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Albert lea vs Chesapeake
- More residents in Albert lea report poor mental health at 16.6% compared to 15.9% in Chesapeake.
- Depression is more prevalent in Albert lea at 24.2% compared to 20.9% in Chesapeake.
- Smoking is more prevalent in Albert lea at 22.1% compared to 14.8% in Chesapeake.
- Binge drinking is more common in Albert lea at 18.3% compared to 16.1% in Chesapeake.
- Obesity rates are higher in Albert lea at 38.0% compared to 36.1% in Chesapeake.
- Disability percentages are higher in Albert lea at 13.0% compared to 11.0% in Chesapeake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Albert lea | Chesapeake |
|---|---|---|
| No Schooling | 2.0% (370) | 0.8% (2,039) |
| High School Diploma | 19.7% (3,624) | 13.1% (33,024) |
| Less than High School | 20.0% (3,680) | 7.0% (17,684) |
| Bachelor's Degree and Higher | 11.3% (2,086) | 23.8% (60,160) |
Education Levels Comparison: Albert lea vs Chesapeake
- A higher percentage of residents in Albert lea have no formal schooling at 2.0% compared to 0.8% in Chesapeake.
- A higher percentage of residents in Albert lea hold a high school diploma at 19.7% compared to 13.1% in Chesapeake.
- More residents in Albert lea have less than a high school education at 20.0% compared to 7.0% in Chesapeake.
- In Chesapeake, a larger share of residents have a bachelor's degree or higher at 23.8% compared to 11.3% in Albert lea.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.